OCR Invoice Processing

Overview

A production invoice-processing pipeline for AP teams, finance ops, and any business that receives a high volume of vendor invoices. The system ingests PDFs and images from email or a watched folder, classifies the document type, runs OCR plus LLM extraction to pull every relevant field (vendor, invoice number, line items, totals, payment terms, PO references), validates against your master data, scores each field's extraction confidence, and pushes the result straight into NetSuite / QuickBooks / Sage / SAP / your custom AP system. Low-confidence fields get flagged into a human review queue. Everything else posts automatically.

The Challenge

Invoices are deceptively hard. Every vendor has its own layout. Line items vary wildly in structure. Handwritten notes and stamps confuse vanilla OCR. Tax rules vary by jurisdiction. PO matching depends on fuzzy logic. And AP teams need to trust the system — which means visible confidence scores, easy override paths, and a feedback loop that improves the model on the documents your business actually receives, not a generic public dataset.

Our Approach

We use a hybrid architecture: a fast OCR engine (Textract, Google Document AI, or Mindee depending on your stack) handles raw character recognition, then an LLM with a structured-output schema extracts and validates fields. The LLM is grounded by your master vendor list and PO data so it can flag mismatches early. Every field gets a confidence score; anything below a configurable threshold goes to human review. Reviewed corrections feed back into a fine-tune dataset so the system gets measurably better on your specific vendor population each month. Integration into your AP system is via REST API or, for legacy AP software, an RPA bridge we build.

Key Features

• Multi-format ingest (PDF, image, email attachment, watched folder)
• Per-field confidence scoring with configurable thresholds
• Hybrid OCR + LLM extraction — best of both
• Auto-classification of invoice vs. receipt vs. statement vs. credit memo
• PO matching and master-vendor validation
• Direct posting into NetSuite, QuickBooks, Sage, SAP, or custom AP
• Human-in-the-loop review queue for low-confidence fields
• Continuous fine-tuning on your reviewed corrections

Results

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